Physical & Embodied AI Data

Real-world data to teach robots everyday tasks.

Embodied AI learns from people doing real things in real places. Labelix builds the environments and fields the people to capture it, from cleaning, dishwashing and folding laundry to assembly and any task you define, at the scale your models need.

Read the FAQ
  • Independent & neutral
  • In-house · NDA-bound
  • Scoped to your project
  • Never crowdsourced
What we capture

The real-world data your robots actually need.

Household & daily-life activities
Kitchen & cleaning tasks
Laundry & clothes folding
Object manipulation & handling
Assembly & construction tasks
Custom scripted scenarios
How it works

We build the environment, and bring the people to it.

Any environment, at any scale

From a single fully furnished, authentically styled US-style home to hundreds of them running in parallel. Kitchens, living spaces, retail floors and workshops: whatever your vision needs, dressed to feel real.

  • Furnished homes & rooms
  • Kitchens & cleaning settings
  • Retail & workspace setups
  • Hundreds of variations in parallel

The right people for the task

Through our wide connections across Bangladesh's universities, we recruit the full range you need, from no formal qualification all the way up to PhDs, dedicated to your project and ramped quickly.

  • No-qualification to PhD range
  • Recruited to your spec
  • Hundreds to thousands of people
  • Dedicated, not a rotating crowd
Why it's hard

The bottleneck isn't the model. It's the labels behind it.

01

Real-world embodied data barely exists off the shelf, so you have to generate it from scratch.

02

Models need controlled variety: many environments, many people, consistent capture across all of them.

03

Staging realistic settings and coordinating people at scale is operationally heavy to run yourself.

Why Labelix

A dedicated team — not a crowd you can't see.

Household & service robots · embodied-AI foundation models · manipulation & dexterity research · activity-recognition & video-understanding datasets.

We generate data that doesn't exist yet

Off-the-shelf embodied data is scarce. We build the environments and field the people to capture exactly the real-world activity your models need, made to spec rather than scavenged.

Independent & data-firewalled

No Big-Tech owner, no conflicted incumbent. Your project is run by vetted, dedicated people under signed NDAs in a controlled environment, never farmed out to a crowd.

Variety and volume, on one team

Many environments, a wide range of people, consistent capture across all of them. The same dedicated team scales with your project instead of resetting every batch.

FAQ

Questions, answered straight.

Still have one? Tell us about your data and we'll scope a small paid pilot.

Everyday physical tasks performed by real people: cleaning, dishwashing, laundry and folding, cooking-adjacent kitchen work, object manipulation and handling, assembly and construction, and any custom scenario you script. We scope the activities, the setup and the capture format to your project.

Build the environment. Bring the people. Capture the data.

Start with a small paid pilot and see the environments and the quality firsthand before you scale. Independent, in-house, and scoped to your project.